#Regression

@grmlproject As an old #grml user, today I wanted to use grml 2025.05 for the first time.
I wanted to apt update because I needed an additional package, but that failed with:

E: The repository 'h​t​t​p​:​/​/​s​n​a​p​s​h​o​t​.​d​e​b​i​a​n​.​o​r​g​/​a​r​c​h​i​v​e​/​d​e​b​i​a​n​/​2​0​2​5​0​5​1​4​ testing-security Release' does not have a Release file.

Tried again with 2024.12, no problem, worked like a charm like I'm used to it.

A #regression ? Or a surprise from #debian?

Thanks for the great distro btw!

Dr Mircea Zloteanu ☀️ 🌊🌴mzloteanu
2025-07-11

#385 Understanding and Implementing Robust Regression in R

Thoughts: Not a thorough guide, but shows how simple it is to use a robust regression (rlm vs lm).

spsanderson.com/steveondata/po

2025-07-09

🥳 New Kitten Release

• Fixed regression: Since we switched the h() render function to return a generator (for seamless async support in html templates), two other methods that were calling h() directly – `kitten.safelyAddHtml()` and `kitten.js()` – had begun to fail. This was also affecting the fetchiverse, streamiverse, and kitten-chat family of examples.

Enjoy!

kitten.small-web.org

(Run `kitten update` to immediately install the latest version on your development machines. Your production machines will automatically update in the next few hours.)

:kitten:💕

#Kitten #SmallWeb #bug #regression #fix #KittenRelease #SmallTech #web #dev

Dr Mircea Zloteanu ☀️ 🌊🌴mzloteanu
2025-07-07

#381 In psychology everything mediates everything

Thoughts: Another great explanation of the pitfalls of mediation analysis. Mediation is not a simple procedure and require strong theory.

steamtraen.blogspot.com/2020/0

Sweet Home Alaberta 🇨🇦 🇺🇦 🏳️‍🌈 🏳️‍⚧️ 🇲🇽NMBA@mstdn.ca
2025-07-06

The party told you to stuff ivermectin in your ears and your eyes to avoid the devil's needles.

#Regression #DarkAges #Fascism

THE CONVERSATION
Divesting from the next generation of researchers
means cutting the lifeblood of science and
medicine.
Image:  stethoscope
Cuts to science
research funding
cut American lives
short - federal
support is essential
for medical
breakthroughsThe Independent 
Breakthrough gene therapy jab

reverses hearing loss in weeks

By Vishwam Sankaran
2025-07-06

Probably now, only fewer than single-digit percentages of programmers can read and write assembly code. Probably in the near future, with the help of AI, only a single-digit percentage of coders will actually understand code. #regression

Dr Mircea Zloteanu ☀️ 🌊🌴mzloteanu
2025-07-04

#380 Variable Importance Plots {vip}

Thoughts: Not sure how useful these are for researchers, but it's one way to plot the "importance" of your model.

koalaverse.github.io/vip/artic

2025-07-02

2024 Time Warp Post:
Left: Staying cool in the Summer heat.
Right: Care Bear training starts strictly from the beginning, so new recruits need to unlearn what they already know.

Art by (left) snugzthegator & (right) @Razz_Beary

#Babyfur #ABDL #Diaper #Regression

Kevin Karhan :verified:kkarhan@infosec.space
2025-06-29

@leanlearnlead see, this kind of feature regression on top of being more expensive is why #ElectricCars suck in terms of #UX!

  • Whereas any gas station I've ever been to (informal road stalls on Siquijor don't count!) accept cash & card without hassles.

The fact that on top of being slower to load than gas up it's less convenient makes it a no-go for me as I'm not privileged to own a house where I can get a #Wallbox installed!

#EV #charging #infrastructure #ChargingInfrastructure #UserExperience #FeatureRegression #Regression

Kevin Karhan :verified:kkarhan@infosec.space
2025-06-29

@haekelschwein Solange #digital unbequemer, teurer (#Preisparität oder gar #Abozwang = teurer!) und #Medien immer weniger #Journalismus abliefern geb' ich mir das nicht!

  • Es ist nicht so als wäre ich unwillens zu zahlen, nur wenn ich weder #Einzelausgaben kaufen noch nen #DRM-freies #PDF (was 1:1 #Print-Ausgabe vom Inhalt wäre) bekomme dann ist's ne #Regression die ich prinzipiell nicht mittrage!
Ruben ~ Kedara.eukedara_eu@kedara.social
2025-06-27

#TIL at work: sometimes, it may be okay to force a linear regression through the origin.

Normally speaking, you should use "y=ax+b" as model for your linear regressions and correlation indices. Because fixing "b=0" introduces a bias in the estimator "a".

However, today, someone argued that if you're using a regression to measure the predictive power of a model with respect to measurement data, you should fix "b=0".

Now, intuitively this makes some sense, but I haven't been able to find clear proof pro or against it.

So, if you know more about this *and* have relevant references to papers to backup your claim, I'd very much love to hear from you. Statistics is not really my field.

#correlation #regression #stats #statistics #math #maths

2025-06-22

It is hot today 🔥 🥵

So let these little #babyfurs cool you down with a super soaker 🔫 full of #foy

#abdl #diaper #regression

2025-06-16
Steven Sandersonspsanderson@rstats.me
2025-06-15

If you want to use the glmnet() in #R for regression or classification but need your data in shape, then use my healthyR.ai package to do it!

Function Reference: spsanderson.com/healthyR.ai/re

#RStats #Regression #Classification #dataprep #healthyRai #algorithm #glmnet #stats #prediction #stats

If you want to use the glmnet() in #R for regression or classification but need your data in shape, then use my healthyR.ai package to do it!

Function Reference: https://www.spsanderson.com/healthyR.ai/reference/hai_glmnet_data_prepper.html

Linux 6.16 RC2 will fix the power regression!

Linux 5.15 was mistakenly shipped with code that caused power regression for non-SMT systems. That is, the systems that boot with the nosmt option. Since then, this code has been reverted as it could cause serious damage to the computers that use that option, starting from Linux 6.16 RC1 and 6.15.

Now, the patch has been re-introduced to Linux 6.16 RC2. This time, it’s implemented properly to prevent this power regression on non-SMT systems to avoid damages caused by this regression. The code has been fixed, and the below explanation has been provided:

Eliminate mwait_play_dead_cpuid_hint() again after reverting its elimination during the 6.16 merge window due to a problem with handling “dead” SMT siblings, but this time prevent leaving them in C1 after initialization by taking them online and back offline when a proper cpuidle driver for the platform has been registered

During initialization, the ACPI processor code needs to rescan the “dead” SMT siblings in a way that prevents leaving them in C1 after initialization. This is by taking those siblings online temporarily while waiting for a proper CPU idle driver to register itself before taking them back off.

Linux 6.16 RC2 will be released today at 9 PM GMT!

Image by marymarkevich on Freepik

#Fixes #Linux #Linux616 #news #Power #PowerManagement #Regression #Tech #Technology #update

💧🌏 Greg CocksGregCocks@techhub.social
2025-06-07

Influence Of Atmospheric And Oceanic Circulation Patterns On Precipitation Variability In North Africa With A Focus On Morocco
--
doi.org/10.1038/s41598-025-027 <-- shared paper
--
[metrology, including regional, is not a subject I know a lot about, but this was an excellent paper to read]
#GIS #spatial #mapping #Morocco #NorthAfrica #meteorology #regional #model #modeling #weather #rainfall #precipitation #temperature #spatialanalysis #spatiotemporal #wetseason #patterns #statistics #geostatistics #climate #climatechange #indicators #teleconnections #seasonal #regression #wavelet #seasurfacetemperature #MediterraneanOscillation #NorthAtlanticOscillation #forecasting #atmosphere #ocean #marine #circulation

Steven Sandersonspsanderson@rstats.me
2025-06-06

Want to use the #mars #earth algorithm for either #regression or #classification well you can do that with my #R #package `healthyR.ai`, just use the hai_earth_data_prepper() function :)

#RStats

library(healthyR.ai)
library(dplyr)

# Create a tibble from mtcars with only the numeric columns
mtcars_numeric <- mtcars %>%
  select(where(is.numeric)) %>%
  as_tibble()

regression_rec_obj <- hai_earth_data_prepper(
  .data = mtcars_numeric,
  .recipe_formula = mpg ~ .
)
regression_rec_obj
get_juiced_data(regression_rec_obj) |>
  head(1) |>
  glimpse()# Create a tibble from the Titanic dataset
titanic_data <- as_tibble(Titanic)
head(titanic_data, 1) |>
  glimpse()

classification_rec_obj <- hai_earth_data_prepper(
  .data = titanic_data,
  .recipe_formula = Survived ~ .
)
classification_rec_obj
get_juiced_data(classification_rec_obj) |>
  head(1) |>
  glimpse()
Steven P. Sanderson II, MPHstevensanderson@mstdn.social
2025-06-06

Want to use the #mars #earth algorithm for either #regression or #classification well you can do that with my #R #package `healthyR.ai`, just use the hai_earth_data_prepper() function :)

#RStats

library(healthyR.ai)
library(dplyr)

# Create a tibble from mtcars with only the numeric columns
mtcars_numeric <- mtcars %>%
  select(where(is.numeric)) %>%
  as_tibble()

regression_rec_obj <- hai_earth_data_prepper(
  .data = mtcars_numeric,
  .recipe_formula = mpg ~ .
)
regression_rec_obj
get_juiced_data(regression_rec_obj) |>
  head(1) |>
  glimpse()# Create a tibble from the Titanic dataset
titanic_data <- as_tibble(Titanic)
head(titanic_data, 1) |>
  glimpse()

classification_rec_obj <- hai_earth_data_prepper(
  .data = titanic_data,
  .recipe_formula = Survived ~ .
)
classification_rec_obj
get_juiced_data(classification_rec_obj) |>
  head(1) |>
  glimpse()

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